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Detailed Course Information


Spring 2011
Dec 07, 2023
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CS 54701 - Information Retrieval
Credit Hours: 3.00. Basic principles and practical algorithms used for information retrieval and text mining: statistical characteristics of text, several important retrieval models, text categorization, recommendation system, clustering, federated text search, link analysis, etc. Typically offered Fall Spring.
3.000 Credit hours

Syllabus Available
Levels: Graduate, Professional, Undergraduate
Schedule Types: Lecture

Offered By: College of Science
Department: Computer Science

Course Attributes:
Upper Division

May be offered at any of the following campuses:     
      West Lafayette

Learning Outcomes: 1. Learn the theories and techniques behind Web search engines, E-commerce recommendation systems, etc. 2. Get hands on project experience by developing real-world applications, such as intelligent tools for improving search accuracy from user feedback, email spam detection, recommendation system, or scientific literature organization and mining. 3. Learn tools and techniques to do cutting-edge research in the area of information retrieval or text mining.

Must be enrolled in one of the following Levels:     

GR-CS 54701 Requisites

General Requirements:

Student Attribute: GR
May not be taken concurrently.  )
Course or Test: CS 34800
Minimum Grade of D-
May not be taken concurrently.
Course or Test: STAT 51100
Minimum Grade of D-
May not be taken concurrently. )

Short Title: Information Retrieval

Course Configurations:

Configuration 1: 3.0 Credits
Schedule Type Weekly Contact Hours Instructional Credit Distribution
Lecture 3 3.0

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